seqerakit
is a Python wrapper for the Seqera Platform CLI. It can be leveraged to automate the creation of all of the entities in Seqera Platform via a simple configuration file in YAML format.
The key features are:
- Simple configuration: All of the command-line options available when using the Seqera Platform CLI can be defined in simple YAML format.
- Infrastructure as Code: Enable users to manage and provision their infrastructure specifications.
- Automation: End-to-end creation of entities within Seqera Platform, all the way from adding an Organization to launching pipeline(s) within that Organization.
You will need to have an account on Seqera Platform (see Plans and pricing).
seqerakit
requires the following dependencies:
You can install seqerakit
and its dependencies via Conda. Ensure that you have the correct channels configured:
conda config --add channels bioconda
conda config --add channels conda-forge
conda config --set channel_priority strict
You can then create a conda environment with seqerakit
installed using the following:
conda env create -n seqerakit seqerakit
conda activate seqerakit
If you already have Seqera Platform CLI and Python installed on your system, you can install seqerakit
directly from PyPI:
pip install seqerakit
You can force overwrite the installation to use the latest changes with the command below:
pip install --upgrade --force-reinstall seqerakit
You can install the development branch of seqerakit
on your local machine to test feature updates of the tool. Before proceeding, ensure that you have Python and Git installed on your system.
- To install directly from pip:
pip install git https://github.com/seqeralabs/seqera-kit.git@dev
- Alternatively, you may clone the repository locally and install manually:
git clone https://github.com/seqeralabs/seqera-kit.git
cd seqera-kit
git checkout dev
pip install .
You can verify your installation with:
pip show seqerakit
Create a Seqera Platform access token using the Seqera Platform web interface via the Your Tokens page in your profile.
seqerakit
reads this token from the environment variable TOWER_ACCESS_TOKEN
. Please export it into your terminal as shown below:
export TOWER_ACCESS_TOKEN=<Your access token>
For Enterprise installations of Seqera Platform, you will also need to configure the API endpoint that will be used to connect to the Platform. You can do so by exporting the following environment variable:
export TOWER_API_ENDPOINT=<Tower API URL>
By default, this is set to https://api.cloud.seqera.io
to connect to Seqera Platform Cloud.
To confirm the installation of seqerakit
, configuration of the Seqera Platform CLI and connection to the Platform is working as expected. This will run the tw info
command under the hood:
seqerakit --info
Use the --help
or -h
parameter to list the available commands and their associated options:
seqerakit --help
Use --version
or -v
to retrieve the current version of your seqerakit installation:
seqerakit --version
seqerakit
supports input through either file paths to YAMLs or directly from standard input (stdin).
seqerakit /path/to/file.yaml
$ cat file.yaml | seqerakit -
See the Defining your YAML file using CLI options section for guidance on formatting your input YAML file(s).
To print the commands that would executed with tw
when using a YAML file, you can run seqerakit
with the --dryrun
flag:
seqerakit file.yaml --dryrun
Instead of adding or creating resources, you can recursively delete resources in your YAML file by specifying the --delete
flag:
seqerakit file.yaml --delete
For example, if you have a YAML file that defines an Organization -> Workspace -> Team -> Credentials -> Compute Environment that have already been created, with the --delete
flag, seqerakit
will recursively delete the Compute Environment -> Credentials -> Team -> Workspace -> Organization.
tw
specific CLI options can be specified with the --cli=
flag:
seqerakit file.yaml --cli="--arg1 --arg2"
You can find the full list of options by running tw -h
.
The Seqera Platform CLI expects to connect to a Seqera Platform instance that is secured by a TLS certificate. If your Seqera Platform Enterprise instance does not present a certificate, you will need to qualify and run your tw
commands with the --insecure
flag.
To use tw
specific CLI options such as --insecure
, use the --cli=
flag, followed by the options you would like to use enclosed in double quotes.
For example:
seqerakit file.yaml --cli="--insecure"
For Seqera Platform Enterprise, to use an SSL certificate that is not accepted by the default Java certificate authorities and specify a custom cacerts
store as accepted by the tw
CLI, you can specify the -Djavax.net.ssl.trustStore=/absolute/path/to/cacerts
option enclosed in double quotes to seqerakit
as you would to tw
, preceded by --cli=
.
For example:
seqerakit hello-world-config.yml --cli="-Djavax.net.ssl.trustStore=/absolute/path/to/cacerts"
Note: Use of --verbose
option for the tw
CLI is currently not supported by seqerakit
. Supplying --cli="--verbose"
will raise an error.
When using a YAML file as input that defines multiple resources, you can use the --targets
flag to specify which resources to create. This flag takes a comma-separated list of resource names.
For example, given a YAML file that defines the following resources:
workspaces:
- name: 'showcase'
organization: 'seqerakit_automation'
...
compute-envs:
- name: 'compute-env'
type: 'aws-batch forge'
workspace: 'seqerakit/test'
...
pipelines:
- name: "hello-world-test-seqerakit"
url: "https://github.com/nextflow-io/hello"
workspace: 'seqerakit/test'
compute-env: "compute-env"
...
You can target the creation of pipelines
only by running:
seqerakit test.yml --targets pipelines
This will process only the pipelines block from the YAML file and ignore other blocks such as workspaces
and compute-envs
.
You can also specify multiple resources to create by separating them with commas. For example, to create both workspaces and pipelines, run:
seqerakit test.yml --targets workspaces,pipelines
There are several options that can be provided in your YAML configuration file, that are handled specially by seqerakit and/or are not exposed as tw
CLI options.
To specify pipeline parameters, you may either use params:
to specify a list of parameters, or use params-file:
to point to a parameters file.
For example, to specify pipeline parameters within your YAML:
params:
outdir: 's3://path/to/outdir'
fasta: 's3://path/to/reference.fasta'
Alternatively, to specify a file containing pipeline parameters:
params-file: '/path/to/my/parameters.yaml'
Optionally, you may provide both:
params-file: '/path/to/my/parameters.yaml'
params:
outdir: 's3://path/to/outdir'
fasta: 's3://path/to/reference.fasta'
Note: If duplicate parameters are provided, the parameters provided as key-value pairs inside the params
nested dictionary of the YAML file will take precedence over values in the provided params-file
.
For every entity defined in your YAML file, you can specify overwrite: True
to overwrite any existing entities in Seqera Platform of the same name.
seqerakit
will first check to see if the name of the entity exists, if so, it will invoke a tw <subcommand> delete
command before attempting to create it based on the options defined in the YAML file.
DEBUG:root: Overwrite is set to 'True' for organizations
DEBUG:root: Running command: tw -o json organizations list
DEBUG:root: The attempted organizations resource already exists. Overwriting.
DEBUG:root: Running command: tw organizations delete --name $SEQERA_ORGANIZATION_NAME
DEBUG:root: Running command: tw organizations add --name $SEQERA_ORGANIZATION_NAME --full-name $SEQERA_ORGANIZATION_NAME --description 'Example of an organization'
The Seqera Platform CLI allows export and import of entities through JSON configuration files for pipelines and compute environments. To use these files to add a pipeline or compute environment to a workspace, use the file-path
key to specify a path to a JSON configuration file.
An example of the file-path
option is provided in the compute-envs.yml template:
compute-envs:
- name: 'my_aws_compute_environment' # required
workspace: 'my_organization/my_workspace' # required
credentials: 'my_aws_credentials' # required
wait: 'AVAILABLE' # optional
file-path: './compute-envs/my_aws_compute_environment.json' # required
overwrite: True
You must provide a YAML file that defines the options for each of the entities you would like to create in Seqera Platform.
You will need to have an account on Seqera Platform (see Plans and pricing). You will also need access to a Workspace and a pre-defined Compute Environment where you can launch a pipeline.
-
Create a YAML file called
hello-world-config.yml
with the contents below, and customise the<YOUR_WORKSPACE>
and<YOUR_COMPUTE_ENVIRONMENT>
entries as required:launch: - name: 'hello-world' # Workflow name workspace: '<YOUR_WORKSPACE>' # Workspace name compute-env: '<YOUR_COMPUTE_ENVIRONMENT>' # Compute environment revision: 'master' # Pipeline revision pipeline: 'https://github.com/nextflow-io/hello' # Pipeline URL
-
Launch the pipeline with
seqerakit
:seqerakit hello-world-config.yml
-
Login to your Seqera Platform instance and check the Runs page in the appropriate Workspace for the pipeline you just launched!
You can also launch the same pipeline via a Python script. This will essentially allow you to extend the functionality on offer within the Seqera Platform CLI by leveraging the flexibility and customisation options available in Python.
-
Download the
launch_hello_world.py
Python script and customise the<YOUR_WORKSPACE>
and<YOUR_COMPUTE_ENVIRONMENT>
entries as required. -
Launch the pipeline with
seqerakit
:
python launch_hello_world.py
- Login to your Seqera Platform instance and check the Runs page in the appropriate Workspace for the pipeline you just launched!
All available options to provide as definitions in your YAML file can be determined by running the Seqera Platform CLI help command for your desired entity.
- Retrieve CLI Options
To obtain a list of available CLI options for defining your YAML file, use the help command of the Seqera Platform CLI. For instance, if you want to configure a pipeline to be added to the Launchpad, you can view the options as follows:
$ tw pipelines add -h
Usage: tw pipelines add [OPTIONS] PIPELINE_URL
Add a workspace pipeline.
Parameters:
* PIPELINE_URL Nextflow pipeline URL.
Options:
* -n, --name=<name> Pipeline name.
-w, --workspace=<workspace> Workspace numeric identifier (TOWER_WORKSPACE_ID as default) or workspace reference as OrganizationName/WorkspaceName
-d, --description=<description> Pipeline description.
--labels=<labels>[,<labels>...] List of labels seperated by coma.
-c, --compute-env=<computeEnv> Compute environment name.
--work-dir=<workDir> Path where the pipeline scratch data is stored.
-p, --profile=<profile>[,<profile>...] Comma-separated list of one or more configuration profile names you want to use for this pipeline execution.
--params-file=<paramsFile> Pipeline parameters in either JSON or YML format.
--revision=<revision> A valid repository commit Id, tag or branch name.
...
- Define Key-Value Pairs in YAML
Translate each CLI option into a key-value pair in the YAML file. The structure of your YAML file should reflect the hierarchy and format of the CLI options. For instance:
pipelines:
- name: 'my_first_pipeline'
url: 'https://github.com/username/my_pipeline'
workspace: 'my_organization/my_workspace'
description: 'My test pipeline'
labels: 'yeast,test_data'
compute-env: 'my_compute_environment'
work-dir: 's3://my_bucket'
profile: 'test'
params-file: '/path/to/params.yaml'
revision: '1.0'
In this example:
name
,url
,workspace
, etc., are the keys derived from the CLI options.- The corresponding values are user-defined
- Ensure that the indentation and structure of the YAML file are correct - YAML is sensitive to formatting.
- Use quotes around strings that contain special characters or spaces.
- When listing multiple values (
labels
,instance-types
,allow-buckets
, etc), separate them with commas as shown above. - For complex configurations, refer to the Templates provided in this repository.
We have provided template YAML files for each of the entities that can be created on Seqera Platform. These can be found in the templates/
directory and should form a good starting point for you to add your own customization:
- organizations.yml
- teams.yml
- workspaces.yml
- participants.yml
- credentials.yml
- secrets.yml
- compute-envs.yml
- actions.yml
- datasets.yml
- labels.yml
- pipelines.yml
- launch.yml
Please see seqerakit-e2e.yml
for an end-to-end example that highlights how you can use seqerakit
to create everything sequentially in Seqera Platform all the way from creating a new Organization to launching a pipeline.
You can modify this YAML to similarly create Seqera Platform resources end-to-end for your setup. This YAML encodes environment variables to protect sensitive keys, usernames, and passwords that are required to create or add certain resources (i.e. credentials, compute environments). Prior to running it with seqerakit examples/yaml/seqerakit-e2e.yml
, you will have to set the following environment variables:
$TOWER_GITHUB_PASSWORD
$DOCKERHUB_PASSWORD
$AWS_ACCESS_KEY_ID
$AWS_SECRET_ACCESS_KEY
$AWS_ASSUME_ROLE_ARN
$AZURE_BATCH_KEY
$AZURE_STORAGE_KEY
$GOOGLE_KEY
$SENTIEON_LICENSE_BASE64
If you would like to contribute to seqerakit
, please see the contributing guidelines.
For further information or help, please don't hesitate to create an issue in this repository.
seqerakit
was written by Esha Joshi, Adam Talbot and Harshil Patel from the Scientific Development Team at Seqera Labs.